Data or information is now the driving force behind everything we do. Whether it is realising how many district nurses we need to serve each specific area within NW London, or finding out what best we can do for a prosthetic limb so that the user feels more in control and feels it is their own arm. Machine learning, analysis of data, and extrapolating using known markers has helped scientists, data analysts, and businesses decide what direction they want to take in providing the right kind of services and products for their clients. This presentation will focus mainly on how data analysis in the NHS, being a youth worker with Tower Hamlets, and being a research scientist doing a PhD can all be bound together using the same thread that is data. Speaker Bio: Salman Shams, PhD. is currently working as a data analyst for the National Health Service. He has a PhD in medical engineering which involved using machine learning methods to increase the efficiency of prosthetic limbs. until recently he was also a youth engagement worker with the London borough of Tower Hamlets where he worked for eight years and in that time was able to recognise the potential of having data and information on young people who are currently not in education employment or training and how this helps local authorities manage their services better catering to those young people.

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18:00 - 19:00 hs GMT+1

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Dataiku
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